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数据与 AI AI 技能

发现 数据与 AI 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 数据与 AI

显示第 32,929–32,952 个,共 83,104 个

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GitHub

feature-planning

andersnygaard

Focused task planning for ONE specific idea. Uses narrow→broad pattern - starts at user's focus point, expands context only as needed. Creates detailed task via task-board skill.

GitHub

rule-making-skill

andersnygaard

Analyze a specific directory (e.g. frontend/, backend/, e2e/) and generate .claude/rules/ markdown files for it. Use when asked to create rules, analyze a folder for Claude Code, or set up domain memory for a s...

GitHub

due-diligence

andersnygaard

Comprehensive application audit. Analyzes best practices, security compliance, frontend design quality. Identifies top improvements and critical errors. Produces scores for design, code quality, and security.

GitHub

seo-mastery

kpab

Comprehensive SEO optimization skill based on Google's official guidelines. Covers technical SEO, content SEO, structured data, Core Web Vitals, E-E-A-T strategies, practical code generation, and site audit wor...

GitHub

seo-mastery-jp

kpab

包括的なSEO最適化スキル(日本語版)。Googleの公式ガイドラインに基づく技術SEO、コンテンツSEO、構造化データ、Core Web Vitals、E-E-A-T対策を網羅し、実践的なコード生成とサイト監査ワークフローを提供

GitHub

frontend-component

xmark168

Create React/Next.js 16 components. Use when building pages, client/server components, forms with useActionState, or UI with shadcn/ui. ALWAYS activate with frontend-design together.

GitHub

unit-test

xmark168

Unit tests with Jest + React Testing Library. CRITICAL - Uses Jest (NOT Vitest).

GitHub

authentication

xmark168

Implement authentication with NextAuth v5. Use when adding login/logout, checking sessions, protecting API routes, server actions, or pages.

GitHub

feature-plan

xmark168

Create implementation plans for Next.js features. Use when breaking down user stories into tasks, planning feature implementation, or decomposing complex requirements.

GitHub

integration-test

xmark168

Write integration tests with Jest for API routes and database operations. Use when testing backend logic, API endpoints, or data layer.

GitHub

state-management

xmark168

Manage client-side state with Zustand. Use when building shopping cart, user preferences, theme toggle, UI state, or any cross-component shared state with localStorage persist.

GitHub

api-route

xmark168

Create Next.js 16 API Route Handlers. Use when building REST endpoints (GET, POST, PUT, DELETE), implementing CRUD operations, or creating authenticated APIs with Zod validation.

GitHub

typescript-types

xmark168

Define TypeScript types, interfaces, and type utilities. Use when creating type definitions, DTOs, API response types, or component props.

GitHub

database-model

xmark168

Create Prisma schema models with relations and indexes. Use when designing database schemas, adding models, or defining entity relationships.

GitHub

database-seed

xmark168

Create robust, error-proof Prisma seed scripts with comprehensive error handling and validation.

GitHub

code-review

xmark168

Review code for quality, security, performance, and best practices. Use when reviewing changes before commit, auditing code for issues, or suggesting improvements.

GitHub

debugging

xmark168

Debug code errors systematically. Use when analyzing error messages, fixing bugs, resolving build/lint errors, or troubleshooting runtime issues.

GitHub

argentic-framework-development

angkira

Expert knowledge for building AI agents with Argentic - a Python microframework for async MQTT-based agents with multi-LLM support, custom tools, and multi-agent orchestration

GitHub

atomic-blocks

manutej

Composable atomic blocks for categorical meta-prompting. Defines 16 reusable blocks across 4 layers (Assessment, Transformation, Refinement, Composition) that can be composed to build custom workflows. Enables...

GitHub

meta-self

manutej

Master reference for categorical meta-prompting unified syntax. Contains all modifiers, operators, composition patterns, and execution protocols. Use this skill for self-reference when executing any prompt work...

GitHub

llm4s-scala

manutej

LLM4S Scala functional LLM interfaces with Effect system integration. Use when building LLM applications in Scala with ZIO or Cats Effect, implementing type-safe AI pipelines with functional error handling, cre...

GitHub

lmql-constraints

manutej

LMQL constraint-guided generation DSL for type-safe prompting with grammar constraints and logical conditions. Use when building structured LLM outputs with guaranteed format compliance, implementing constraine...

GitHub

mcp-categorical

manutej

MCP (Model Context Protocol) server patterns with categorical tool composition and typed context protocols. Use when building MCP servers with categorical composition patterns, designing tool interfaces using f...

GitHub

categorical-meta-prompting

manutej

Full categorical framework for meta-prompting with verified laws. Use when implementing functor-based task routing, monadic iterative refinement, comonadic context extraction, or quality-tracked composition. In...

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